Wireless sensor networks (WSNs) used for pavement information monitoring usually have a long-chain structure; therefore, the sensor nodes in the network consume uneven amounts of energy. For the application of WSN technology to pavement monitoring, reducing the amount of data transmission in WSNs and balancing the energy consumption at the nodes are essential. This study proposes a data-acquisition mechanism for WSN pavement-monitoring systems based on hybrid compressed sensing (HCS) and establishes a simulation model of the system energy consumption. The data collection proposal is then compared with traditional data collection methods. Experimental results show that the application of HCS to a pavement-monitoring system can reduce the overall energy consumption of the network, balance power consumption among the nodes, and prolong the lifetime of the WSN sensors.

用于路面信息监测的无线传感器网络（WSN）通常具有长链结构；因此，网络中的传感器节点消耗的能量不均匀。对于将 WSN 技术应用于路面监测，减少 WSN 中的数据传输量和平衡节点的能耗至关重要。本研究提出了一种基于混合压缩感知 (HCS) 的 WSN 路面监测系统的数据采集机制，并建立了系统能耗的仿真模型。然后将数据收集建议与传统的数据收集方法进行比较。实验结果表明，将 HCS 应用于路面监控系统可以降低网络的整体能耗，平衡节点之间的功耗，